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  2. Hough transform - Wikipedia

    en.wikipedia.org/wiki/Hough_transform

    The Hough transform as it is universally used today was invented by Richard Duda and Peter Hart in 1972, who called it a "generalized Hough transform" [3] after the related 1962 patent of Paul Hough. [ 4 ] [ 5 ] The transform was popularized in the computer vision community by Dana H. Ballard through a 1981 journal article titled " Generalizing ...

  3. Random sample consensus - Wikipedia

    en.wikipedia.org/wiki/Random_sample_consensus

    Random sample consensus (RANSAC) is an iterative method to estimate parameters of a mathematical model from a set of observed data that contains outliers, when outliers are to be accorded no influence [clarify] on the values of the estimates.

  4. Spatial verification - Wikipedia

    en.wikipedia.org/wiki/Spatial_verification

    RANSAC set in advance the number of iterations of the algorithm. To specify scenes or objects, is commonly used affine transformations to perform the spatial verification. Generalized Hough transform (GHT)

  5. Randomized Hough transform - Wikipedia

    en.wikipedia.org/wiki/Randomized_Hough_Transform

    Hough transforms are techniques for object detection, a critical step in many implementations of computer vision, or data mining from images. Specifically, the Randomized Hough transform is a probabilistic variant to the classical Hough transform, and is commonly used to detect curves (straight line, circle, ellipse, etc.) [1] The basic idea of Hough transform (HT) is to implement a voting ...

  6. Electron backscatter diffraction - Wikipedia

    en.wikipedia.org/wiki/Electron_backscatter...

    Conventional Hough transform EBSD and HR-EBSD [84] [98] Conventional EBSD HR-EBSD Absolute orientation 2° N/A: Misorientation 0.1° to 0.5° 0.006° (1×10 −4 rad) GND @ 1 μm step In lines/m 2 (b = 0.3 nm) > 3×10 13 > 3×10 11: Relative residual strain N/A Deviatoric elastic strain 1×10 −4: Example tasks Texture, microstructure, etc ...

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  8. Generalised Hough transform - Wikipedia

    en.wikipedia.org/wiki/Generalised_Hough_transform

    The generalized Hough transform (GHT), introduced by Dana H. Ballard in 1981, is the modification of the Hough transform using the principle of template matching. [1] The Hough transform was initially developed to detect analytically defined shapes (e.g., line, circle, ellipse etc.). In these cases, we have knowledge of the shape and aim to ...

  9. Tariffs, inflation, and retailers: How Trump's potential ...

    www.aol.com/major-us-retailers-reacting-proposed...

    What are America's top retailers talking about? Tariffs, and what they mean for them and for consumers.. That's the topic everyone was buzzing about at a Washington, D.C., event with major U.S ...